WSJ Articles Scraper | Wall Street Journal Headlines
Pricing
from $19.00 / 1,000 results
Pull Wall Street Journal articles with headline, byline, publication date, section, summary, and body content. Filter by section or keyword. Ideal for financial media monitoring, market sentiment analysis, and competitive content intelligence for finance teams.
You can access the WSJ Articles Scraper | Wall Street Journal Headlines programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "maxItems": 10 }9
10# Run the Actor and wait for it to finish11run = client.actor("parseforge/wsj-articles-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use WSJ Articles Scraper | Wall Street Journal Headlines API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: